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Architectures Demonstrated ability and interest in working across methodological boundaries Solid programming skills (e.g. Python) and experience with research-oriented software development Evidence of research
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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. Experience working in R, Python, or similar programming environments, and a demonstrated ability to integrate and interpret multi-modal datasets, will be considered a major asset. Familiarity with reproducible
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
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scans. Experience with age-depth modelling (c14 dates, stratigraphic correlation). Experience with Python or similar programming language. Documented very good oral and written proficiency in English
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, you should: Have a PhD in some area of nucleic acid research preferably with bioinformatic or computational focus. Have expert knowledge in working with and developing bioinformatics tools in Python
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expert knowledge in working with and developing bioinformatics tools in Python, Julia, R or C++. Have extensive experience with NGS data analysis. Have experience in sample preparation for and sequencing
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skills with considerable experience with programming with python. Significant experience of developing deep learning methods using computational frameworks such as PyTorch, TensorFlow etc. Experience